Computer vision utilities for dataset visualization
Project description
haechan
Computer vision utilities for dataset visualization.
Installation
pip install haechan
Usage
import numpy as np
from PIL import Image, ImageDraw
from haechan import palette, blend, label, save_img, save_gif
# Get color palette (VOC-style, 254 colors)
colors = palette() # or get_colors(num_classes=100) for custom count
# Blend image with segmentation mask
img = np.array(Image.open("image.jpg"))
mask = np.array(Image.open("mask.png"))
blended = blend(img, mask, fg=mask > 0)
# Save image (numpy array or PIL Image)
save_img(blended, "output.jpg")
# Place label on mask center
pil_img = Image.fromarray(blended)
draw = ImageDraw.Draw(pil_img)
label(draw, mask == 1, text="person", color=(255, 0, 0))
# Save frames as GIF
frames = [Image.open(f"frame{i}.png") for i in range(10)]
save_gif(frames, "output.gif", duration=200)
License
MIT
Project details
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